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AI Starter Guide: this book explains one topic at a time, like a big glossary, easy wiki, quick encyclopedia, or summary notes.

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AI Starter Guide

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AI Starter Guide: this book explains one topic at a time, like a big glossary, easy wiki, quick encyclopedia, or summary notes.

Contents

TODO

TODO

  • Decision tree
  • Eager learning algorithms - TODO
  • Lazy learning algorithms
  • Instance-based learning algorithms → lazy learning algorithms
  • Memory-based learning algorithms → lazy learning algorithms
  • Support Vector Machine (SVM)
  • Linear Regression: Used for predicting continuous numerical values.
  • Logistic Regression: Used for binary classification problems.
  • Decision Trees: Tree-based models for both classification and regression tasks.
  • Random Forest: An ensemble method combining multiple decision trees.
  • K-means Clustering: Partition data points into k clusters based on their proximity to cluster centroids.
  • Hierarchical clustering

Statistical Methods:

  • Modified Z-Score
  • Z-Score
  • Percentile: This method identifies anomalies based on percentiles or quantiles of the data distribution.

Density-Based Methods:

Proximity-Based Methods:

Machine Learning-Based Methods:

  • Autoencoders
  • One-Class Support Vector Machines (One-Class SVM)

Ensemble Methods:

  • Gaussian Mixture Models (GMM): Model a combination of distributions, allowing data generation and density estimation.
  • Autoencoders: Neural networks used for unsupervised feature learning.
  • Variational Autoencoders (VAE): Learn to generate new data samples by mapping them to a latent space.

Reinforcement

Semi-supervised learning algorithms

These algorithms leverage both labeled and unlabeled data for learning. They aim to improve model performance by incorporating additional information from unlabeled data. Examples include:

Self-training

Uses a model to generate pseudo-labeled data from unlabeled examples for further training.

Unsupervised learning tasks

  • Gaussian kernel
  • linear kernel
  • polynomial kernel
  • radial basis function (RBF) kernel
  • sigmoid kernel

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